Junghoon Lee

Junghoon Lee

Johns Hopkins University

H-index: 27

North America-United States

About Junghoon Lee

Junghoon Lee, With an exceptional h-index of 27 and a recent h-index of 22 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Medical Imaging, Image Processing and Analysis, Computer Vision, Machine Learning, Image-Guided Interventions.

His recent articles reflect a diverse array of research interests and contributions to the field:

Joint MR to CT synthesis and segmentation for MR-only pediatric brain radiation therapy planning

Intraoperative MRI-guided cervical cancer brachytherapy with automatic tissue segmentation using dual convolution-transformer network and real-time needle tracking

Deep learning segmentation of organs‐at‐risk with integration into clinical workflow for pediatric brain radiotherapy

Clinical VMAT machine parameter optimization for localized prostate cancer using deep reinforcement learning

Deep learning prediction of radiation-induced xerostomia with supervised contrastive pre-training and cluster-guided loss

XIOSIS: X-ray-based intra-operative image-guided platform for oncology smart material delivery

End-to-end 3D neuroendoscopic video reconstruction for robot-assisted ventriculostomy

Cascaded cross-attention transformers and convolutional neural networks for multi-organ segmentation in male pelvic CT

Junghoon Lee Information

University

Position

Associate Professor of Radiation Oncology

Citations(all)

2599

Citations(since 2020)

1710

Cited By

1478

hIndex(all)

27

hIndex(since 2020)

22

i10Index(all)

57

i10Index(since 2020)

40

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Junghoon Lee Skills & Research Interests

Medical Imaging

Image Processing and Analysis

Computer Vision

Machine Learning

Image-Guided Interventions

Top articles of Junghoon Lee

Title

Journal

Author(s)

Publication Date

Joint MR to CT synthesis and segmentation for MR-only pediatric brain radiation therapy planning

Lina Mekki

Sahaja Acharya

Matthew Ladra

Junghoon Lee

2024/2

Intraoperative MRI-guided cervical cancer brachytherapy with automatic tissue segmentation using dual convolution-transformer network and real-time needle tracking

Gayoung Kim

Majd Antaki

Ehud Schmidt

Michael Roumeliotis

Akila Viswanathan

...

2024/2

Deep learning segmentation of organs‐at‐risk with integration into clinical workflow for pediatric brain radiotherapy

Journal of Applied Clinical Medical Physics

Lina Mekki

Sahaja Acharya

Matthew Ladra

Junghoon Lee

2024/2/19

Clinical VMAT machine parameter optimization for localized prostate cancer using deep reinforcement learning

Medical Physics

William T Hrinivich

Mahasweta Bhattacharya

Lina Mekki

Todd McNutt

Xun Jia

...

2024

Deep learning prediction of radiation-induced xerostomia with supervised contrastive pre-training and cluster-guided loss

Bohua Wan

Todd McNutt

Rachel Ger

Harry Quon

Junghoon Lee

2024/2

XIOSIS: X-ray-based intra-operative image-guided platform for oncology smart material delivery

IEEE Transactions on Medical Imaging

Hamed Hooshangnejad

Debarghya China

Yixuan Huang

Wojciech Zbijewski

Ali Uneri

...

2024

End-to-end 3D neuroendoscopic video reconstruction for robot-assisted ventriculostomy

Prasad Vagdargi

Ali Uneri

Stephen Liu

Craig Jones

Alejandro Sisniega

...

2024/2

Cascaded cross-attention transformers and convolutional neural networks for multi-organ segmentation in male pelvic CT

Journal of Medical Imaging

Rahul Pemmaraju

Gayoung Kim

Lina Mekki

Daniel Y Song

Junghoon Lee

2024/3/1

3D conditional GAN with transfer learning for pediatric MR to CT image synthesis combining adult and pediatric patient data

Soyoung Park

Sahaja Acharya

Matthew Ladra

Junghoon Lee

2024/2

Combining physics‐based models with deep learning image synthesis and uncertainty in intraoperative cone‐beam CT of the brain

Medical physics

Xiaoxuan Zhang

Alejandro Sisniega

Wojciech B Zbijewski

Junghoon Lee

Craig K Jones

...

2023/5

Machine Parameter Optimization of a Clinical Linear Accelerator Using Deep Reinforcement Learning for Automatic Generation of Deliverable Prostate VMAT Plans

International Journal of Radiation Oncology, Biology, Physics

WT Hrinivich

D Song

J Lee

2023/10/1

Real-time 3D neuroendoscopic guidance using SLAM: first clinical studies

P Vagdargi

A Uneri

CK Jones

X Zhang

P Wu

...

2023/4/3

Prostate Tumor Regression during Radiation Therapy in Relation to Image Derived Estimates of Fibrosis Using Ultrashort Echo Time MRI

International Journal of Radiation Oncology, Biology, Physics

K Sheikh

BL Daniel

J Lee

J Tokuda

M Jerosch-Herold

...

2023/10/1

Cascaded neural network segmentation pipeline for automated delineation of prostate and organs at risk in male pelvic CT

Rahul Pemmaraju

Daniel Y Song

Junghoon Lee

2023/4/3

Image Derived Estimates of Fibrosis Using Ultrashort Echo Time MRI in Gynecologic Cancer

International Journal of Radiation Oncology, Biology, Physics

K Sheikh

E Schmidt

BL Daniel

J Lee

J Tokuda

...

2023/10/1

Real-Time 3D Video Reconstruction for Guidance of Transventricular Neurosurgery

IEEE Transactions on Medical Robotics and Bionics

Prasad Vagdargi

Ali Uneri

Xiaoxuan Zhang

Craig K Jones

Pengwei Wu

...

2023/7/5

Ultrasound Imaging with Flexible Array Transducer for Pancreatic Cancer Radiation Therapy

Cancers

Xinyue Huang

Hamed Hooshangnejad

Debarghya China

Ziwei Feng

Junghoon Lee

...

2023/6/22

Finite element-based personalized simulation of duodenal hydrogel spacer: Spacer location dependent duodenal sparing and a decision support system for spacer-enabled pancreatic …

Frontiers in Oncology

Hamed Hooshangnejad

Sina Youssefian

Amol Narang

Eun Ji Shin

Avani Dholakia Rao

...

2022/3/24

Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural network

Journal of applied clinical medical physics

Fatemeh Zabihollahy

Akila N Viswanathan

Ehud J Schmidt

Junghoon Lee

2022/9

Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging

Peiyu Duan

Shuo Han

Lianrui Zuo

Yang An

Yihao Liu

...

2022/4/4

See List of Professors in Junghoon Lee University(Johns Hopkins University)

Co-Authors

H-index: 108
Russell H. Taylor

Russell H. Taylor

Johns Hopkins University

H-index: 84
Jerry L. Prince

Jerry L. Prince

Johns Hopkins University

H-index: 75
Jeff Siewerdsen

Jeff Siewerdsen

Johns Hopkins University

H-index: 66
Gabor Fichtinger

Gabor Fichtinger

Queen's University

H-index: 46
Aaron Carass

Aaron Carass

Johns Hopkins University

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